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Mastering Data Mining with Python - Find patterns hidden in your data

You're reading from Mastering Data Mining with Python - Find patterns hidden in your data

Product type Book

Published in Aug 2016

Publisher

ISBN-13 9781785889950

Pages 268 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Megan Squire

Table of Contents (16) Chapters

Mastering Data Mining with Python – Find patterns hidden in your data

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Expanding Your Data Mining Toolbox

2. Association Rule Mining

3. Entity Matching

4. Network Analysis

5. Sentiment Analysis in Text

6. Named Entity Recognition in Text

7. Automatic Text Summarization

8. Topic Modeling in Text

9. Mining for Data Anomalies

Index

Credits

Author

Megan Squire

Reviewers

Sanjeev Jaiswal

Ron Mitsugo Zacharski

Commissioning Editor

Veena Pagare

Acquisition Editor

Lester Frias

Content Development Editor

Mamata Walkar

Technical Editor

Naveenkumar Jain

Copy Editors

Safis Editing

Sneha Singh

Project Coordinator

Shweta H Birwatkar

Proofreader

Safis Editing

Indexer

Pratik Shirodkar

Graphics

Kirk D'Penha

Production Coordinator

Shantanu N. Zagade

Cover Work

Shantanu N. Zagade

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Authors (1)

Megan Squire

Megan Squire is a professor of computing sciences at Elon University. Her primary research interest is in collecting, cleaning, and analyzing data about how free and open source software is made. She is one of the leaders of the FLOSSmole.org, FLOSSdata.org, and FLOSSpapers.org projects.

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